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Bridging Geospatial and Semantic Worlds: Enhancing Analysis of Place-Based Concepts in GIS

Author

Listed:
  • Omid Reza Abbasi

    (Department of Geospatial Information Systems, K. N. Toosi University of Technology, Tehran 19967-15433, Iran)

  • Ali Asghar Alesheikh

    (Department of Geospatial Information Systems, K. N. Toosi University of Technology, Tehran 19967-15433, Iran)

  • Aynaz Lotfata

    (Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA 90616, USA)

  • Chiara Garau

    (Department of Civil, Environmental Engineering, and Architecture (DICAAR), University of Cagliari, 09124 Cagliari, Italy)

Abstract

People’s actions and behaviours contribute to the diversity and personality of a space, transforming it into a vibrant and thriving living environment. The main goal of this research is to present a GIS-based framework for assessing places. The framework is constructed based on the idea of conceptual spaces, integrating spatial and semantic concepts inside a geometric structure. The explanation of place-related concepts is achieved via the use of linear programming and convex polytopes. By projecting these concepts into the spatial domain, a strong connection between geographical and semantic space is established. This connection allows a wide range of analytical calculations using geographic information systems to be carried out. The study focuses on the sense of city centre in Tehran, Iran, by employing questionnaires administrated on-site to evaluate the correlation between identified city centres and the participants’ responses. The findings demonstrate a good correlation, as shown by a Pearson correlation value of 0.74 and a rank correlation coefficient of 0.8. Interestingly, the city centres that were selected did not always align with the geographic centre. However, participants still perceived them as city centres. This framework serves as a valuable tool for planners and policymakers, providing a comprehensive understanding of the built environment. By considering both semantic and geographical aspects, the framework emphasises the importance of emotions, memories, and meanings in creating an inclusive environment.

Suggested Citation

  • Omid Reza Abbasi & Ali Asghar Alesheikh & Aynaz Lotfata & Chiara Garau, 2024. "Bridging Geospatial and Semantic Worlds: Enhancing Analysis of Place-Based Concepts in GIS," Land, MDPI, vol. 13(3), pages 1-22, March.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:377-:d:1358321
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    References listed on IDEAS

    as
    1. Alireza Taravat & Masih Rajaei & Iraj Emadodin, 2017. "Urbanization dynamics of Tehran city (1975–2015) using artificial neural networks," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 24-30, January.
    2. Crone, Sven F. & Lessmann, Stefan & Stahlbock, Robert, 2006. "The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing," European Journal of Operational Research, Elsevier, vol. 173(3), pages 781-800, September.
    3. Matthew Browning & Kangjae Lee, 2017. "Within What Distance Does “Greenness” Best Predict Physical Health? A Systematic Review of Articles with GIS Buffer Analyses across the Lifespan," IJERPH, MDPI, vol. 14(7), pages 1-21, June.
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